1 # Copyright (C) The Arvados Authors. All rights reserved.
3 # SPDX-License-Identifier: Apache-2.0
5 from future import standard_library
6 standard_library.install_aliases()
7 from builtins import str
12 import urllib.request, urllib.parse, urllib.error
19 import arvados_cwl.util
20 import ruamel.yaml as yaml
22 from cwltool.errors import WorkflowException
23 from cwltool.process import UnsupportedRequirement, shortname
24 from cwltool.utils import aslist, adjustFileObjs, adjustDirObjs, visit_class
25 from cwltool.job import JobBase
27 import arvados.collection
29 from .arvdocker import arv_docker_get_image
31 from .runner import Runner, arvados_jobs_image, packed_workflow, trim_anonymous_location, remove_redundant_fields, make_builder
32 from .fsaccess import CollectionFetcher
33 from .pathmapper import NoFollowPathMapper, trim_listing
34 from .perf import Perf
35 from ._version import __version__
37 logger = logging.getLogger('arvados.cwl-runner')
38 metrics = logging.getLogger('arvados.cwl-runner.metrics')
40 def cleanup_name_for_collection(name):
41 return name.replace("/", " ")
43 class ArvadosContainer(JobBase):
44 """Submit and manage a Crunch container request for executing a CWL CommandLineTool."""
46 def __init__(self, runner, job_runtime,
47 builder, # type: Builder
48 joborder, # type: Dict[Text, Union[Dict[Text, Any], List, Text]]
49 make_path_mapper, # type: Callable[..., PathMapper]
50 requirements, # type: List[Dict[Text, Text]]
51 hints, # type: List[Dict[Text, Text]]
54 super(ArvadosContainer, self).__init__(builder, joborder, make_path_mapper, requirements, hints, name)
55 self.arvrunner = runner
56 self.job_runtime = job_runtime
60 def update_pipeline_component(self, r):
63 def _required_env(self):
65 env["HOME"] = self.outdir
66 env["TMPDIR"] = self.tmpdir
69 def run(self, toplevelRuntimeContext):
70 # ArvadosCommandTool subclasses from cwltool.CommandLineTool,
71 # which calls makeJobRunner() to get a new ArvadosContainer
72 # object. The fields that define execution such as
73 # command_line, environment, etc are set on the
74 # ArvadosContainer object by CommandLineTool.job() before
77 runtimeContext = self.job_runtime
79 if runtimeContext.submit_request_uuid:
80 container_request = self.arvrunner.api.container_requests().get(
81 uuid=runtimeContext.submit_request_uuid
82 ).execute(num_retries=self.arvrunner.num_retries)
84 container_request = {}
86 container_request["command"] = self.command_line
87 container_request["name"] = self.name
88 container_request["output_path"] = self.outdir
89 container_request["cwd"] = self.outdir
90 container_request["priority"] = runtimeContext.priority
91 container_request["state"] = "Committed"
92 container_request.setdefault("properties", {})
94 container_request["properties"]["cwl_input"] = self.joborder
96 runtime_constraints = {}
98 if runtimeContext.project_uuid:
99 container_request["owner_uuid"] = runtimeContext.project_uuid
101 if self.arvrunner.secret_store.has_secret(self.command_line):
102 raise WorkflowException("Secret material leaked on command line, only file literals may contain secrets")
104 if self.arvrunner.secret_store.has_secret(self.environment):
105 raise WorkflowException("Secret material leaked in environment, only file literals may contain secrets")
107 resources = self.builder.resources
108 if resources is not None:
109 runtime_constraints["vcpus"] = math.ceil(resources.get("cores", 1))
110 runtime_constraints["ram"] = math.ceil(resources.get("ram") * 2**20)
115 "capacity": math.ceil(resources.get("outdirSize", 0) * 2**20)
119 "capacity": math.ceil(resources.get("tmpdirSize", 0) * 2**20)
123 scheduling_parameters = {}
125 rf = [self.pathmapper.mapper(f) for f in self.pathmapper.referenced_files]
126 rf.sort(key=lambda k: k.resolved)
128 for resolved, target, tp, stg in rf:
131 if prevdir and target.startswith(prevdir):
133 if tp == "Directory":
136 targetdir = os.path.dirname(target)
137 sp = resolved.split("/", 1)
138 pdh = sp[0][5:] # remove "keep:"
139 mounts[targetdir] = {
140 "kind": "collection",
141 "portable_data_hash": pdh
143 if pdh in self.pathmapper.pdh_to_uuid:
144 mounts[targetdir]["uuid"] = self.pathmapper.pdh_to_uuid[pdh]
146 if tp == "Directory":
149 path = os.path.dirname(sp[1])
150 if path and path != "/":
151 mounts[targetdir]["path"] = path
152 prevdir = targetdir + "/"
154 intermediate_collection_info = arvados_cwl.util.get_intermediate_collection_info(self.name, runtimeContext.current_container, runtimeContext.intermediate_output_ttl)
156 with Perf(metrics, "generatefiles %s" % self.name):
157 if self.generatefiles["listing"]:
158 vwd = arvados.collection.Collection(api_client=self.arvrunner.api,
159 keep_client=self.arvrunner.keep_client,
160 num_retries=self.arvrunner.num_retries)
161 generatemapper = NoFollowPathMapper(self.generatefiles["listing"], "", "",
164 sorteditems = sorted(generatemapper.items(), key=lambda n: n[1].target)
166 logger.debug("generatemapper is %s", sorteditems)
168 with Perf(metrics, "createfiles %s" % self.name):
169 for f, p in sorteditems:
173 if p.target.startswith("/"):
174 dst = p.target[len(self.outdir)+1:] if p.target.startswith(self.outdir+"/") else p.target[1:]
178 if p.type in ("File", "Directory", "WritableFile", "WritableDirectory"):
179 if p.resolved.startswith("_:"):
182 source, path = self.arvrunner.fs_access.get_collection(p.resolved)
183 vwd.copy(path or ".", dst, source_collection=source)
184 elif p.type == "CreateFile":
185 if self.arvrunner.secret_store.has_secret(p.resolved):
186 mountpoint = p.target if p.target.startswith("/") else os.path.join(self.outdir, p.target)
187 secret_mounts[mountpoint] = {
189 "content": self.arvrunner.secret_store.retrieve(p.resolved)
192 with vwd.open(dst, "w") as n:
195 def keepemptydirs(p):
196 if isinstance(p, arvados.collection.RichCollectionBase):
198 p.open(".keep", "w").close()
205 if not runtimeContext.current_container:
206 runtimeContext.current_container = arvados_cwl.util.get_current_container(self.arvrunner.api, self.arvrunner.num_retries, logger)
207 vwd.save_new(name=intermediate_collection_info["name"],
208 owner_uuid=runtimeContext.project_uuid,
209 ensure_unique_name=True,
210 trash_at=intermediate_collection_info["trash_at"],
211 properties=intermediate_collection_info["properties"])
214 for f, p in sorteditems:
215 if (not p.target or self.arvrunner.secret_store.has_secret(p.resolved) or
216 (prev is not None and p.target.startswith(prev))):
218 if p.target.startswith("/"):
219 dst = p.target[len(self.outdir)+1:] if p.target.startswith(self.outdir+"/") else p.target[1:]
222 mountpoint = p.target if p.target.startswith("/") else os.path.join(self.outdir, p.target)
223 mounts[mountpoint] = {"kind": "collection",
224 "portable_data_hash": vwd.portable_data_hash(),
226 if p.type.startswith("Writable"):
227 mounts[mountpoint]["writable"] = True
228 prev = p.target + "/"
230 container_request["environment"] = {"TMPDIR": self.tmpdir, "HOME": self.outdir}
232 container_request["environment"].update(self.environment)
235 sp = self.stdin[6:].split("/", 1)
236 mounts["stdin"] = {"kind": "collection",
237 "portable_data_hash": sp[0],
241 mounts["stderr"] = {"kind": "file",
242 "path": "%s/%s" % (self.outdir, self.stderr)}
245 mounts["stdout"] = {"kind": "file",
246 "path": "%s/%s" % (self.outdir, self.stdout)}
248 (docker_req, docker_is_req) = self.get_requirement("DockerRequirement")
250 container_request["container_image"] = arv_docker_get_image(self.arvrunner.api,
252 runtimeContext.pull_image,
253 runtimeContext.project_uuid,
254 runtimeContext.force_docker_pull,
255 runtimeContext.tmp_outdir_prefix,
256 runtimeContext.match_local_docker,
257 runtimeContext.copy_deps)
259 network_req, _ = self.get_requirement("NetworkAccess")
261 runtime_constraints["API"] = network_req["networkAccess"]
263 api_req, _ = self.get_requirement("http://arvados.org/cwl#APIRequirement")
265 runtime_constraints["API"] = True
267 use_disk_cache = (self.arvrunner.api.config()["Containers"].get("DefaultKeepCacheRAM", 0) == 0)
269 keep_cache_type_req, _ = self.get_requirement("http://arvados.org/cwl#KeepCacheTypeRequirement")
270 if keep_cache_type_req:
271 if "keepCacheType" in keep_cache_type_req:
272 if keep_cache_type_req["keepCacheType"] == "ram_cache":
273 use_disk_cache = False
275 runtime_req, _ = self.get_requirement("http://arvados.org/cwl#RuntimeConstraints")
277 if "keep_cache" in runtime_req:
279 # If DefaultKeepCacheRAM is zero it means we should use disk cache.
280 runtime_constraints["keep_cache_disk"] = math.ceil(runtime_req["keep_cache"] * 2**20)
282 runtime_constraints["keep_cache_ram"] = math.ceil(runtime_req["keep_cache"] * 2**20)
283 if "outputDirType" in runtime_req:
284 if runtime_req["outputDirType"] == "local_output_dir":
285 # Currently the default behavior.
287 elif runtime_req["outputDirType"] == "keep_output_dir":
288 mounts[self.outdir]= {
289 "kind": "collection",
293 partition_req, _ = self.get_requirement("http://arvados.org/cwl#PartitionRequirement")
295 scheduling_parameters["partitions"] = aslist(partition_req["partition"])
297 intermediate_output_req, _ = self.get_requirement("http://arvados.org/cwl#IntermediateOutput")
298 if intermediate_output_req:
299 self.output_ttl = intermediate_output_req["outputTTL"]
301 self.output_ttl = self.arvrunner.intermediate_output_ttl
303 if self.output_ttl < 0:
304 raise WorkflowException("Invalid value %d for output_ttl, cannot be less than zero" % container_request["output_ttl"])
307 if self.arvrunner.api._rootDesc["revision"] >= "20210628":
308 storage_class_req, _ = self.get_requirement("http://arvados.org/cwl#OutputStorageClass")
309 if storage_class_req and storage_class_req.get("intermediateStorageClass"):
310 container_request["output_storage_classes"] = aslist(storage_class_req["intermediateStorageClass"])
312 container_request["output_storage_classes"] = runtimeContext.intermediate_storage_classes.strip().split(",")
314 cuda_req, _ = self.get_requirement("http://commonwl.org/cwltool#CUDARequirement")
316 runtime_constraints["cuda"] = {
317 "device_count": resources.get("cudaDeviceCount", 1),
318 "driver_version": cuda_req["cudaVersionMin"],
319 "hardware_capability": aslist(cuda_req["cudaComputeCapability"])[0]
322 if runtimeContext.enable_preemptible is False:
323 scheduling_parameters["preemptible"] = False
325 preemptible_req, _ = self.get_requirement("http://arvados.org/cwl#UsePreemptible")
327 scheduling_parameters["preemptible"] = preemptible_req["usePreemptible"]
328 elif runtimeContext.enable_preemptible is True:
329 scheduling_parameters["preemptible"] = True
330 elif runtimeContext.enable_preemptible is None:
333 if self.timelimit is not None and self.timelimit > 0:
334 scheduling_parameters["max_run_time"] = self.timelimit
336 extra_submit_params = {}
337 if runtimeContext.submit_runner_cluster:
338 extra_submit_params["cluster_id"] = runtimeContext.submit_runner_cluster
340 container_request["output_name"] = cleanup_name_for_collection("Output from step %s" % (self.name))
341 container_request["output_ttl"] = self.output_ttl
342 container_request["mounts"] = mounts
343 container_request["secret_mounts"] = secret_mounts
344 container_request["runtime_constraints"] = runtime_constraints
345 container_request["scheduling_parameters"] = scheduling_parameters
347 enable_reuse = runtimeContext.enable_reuse
349 reuse_req, _ = self.get_requirement("WorkReuse")
351 enable_reuse = reuse_req["enableReuse"]
352 reuse_req, _ = self.get_requirement("http://arvados.org/cwl#ReuseRequirement")
354 enable_reuse = reuse_req["enableReuse"]
355 container_request["use_existing"] = enable_reuse
357 properties_req, _ = self.get_requirement("http://arvados.org/cwl#ProcessProperties")
359 for pr in properties_req["processProperties"]:
360 container_request["properties"][pr["propertyName"]] = self.builder.do_eval(pr["propertyValue"])
362 output_properties_req, _ = self.get_requirement("http://arvados.org/cwl#OutputCollectionProperties")
363 if output_properties_req:
364 if self.arvrunner.api._rootDesc["revision"] >= "20220510":
365 container_request["output_properties"] = {}
366 for pr in output_properties_req["outputProperties"]:
367 container_request["output_properties"][pr["propertyName"]] = self.builder.do_eval(pr["propertyValue"])
369 logger.warning("%s API revision is %s, revision %s is required to support setting properties on output collections.",
370 self.arvrunner.label(self), self.arvrunner.api._rootDesc["revision"], "20220510")
372 if runtimeContext.runnerjob.startswith("arvwf:"):
373 wfuuid = runtimeContext.runnerjob[6:runtimeContext.runnerjob.index("#")]
374 wfrecord = self.arvrunner.api.workflows().get(uuid=wfuuid).execute(num_retries=self.arvrunner.num_retries)
375 if container_request["name"] == "main":
376 container_request["name"] = wfrecord["name"]
377 container_request["properties"]["template_uuid"] = wfuuid
379 self.output_callback = self.arvrunner.get_wrapped_callback(self.output_callback)
382 if runtimeContext.submit_request_uuid:
383 response = self.arvrunner.api.container_requests().update(
384 uuid=runtimeContext.submit_request_uuid,
385 body=container_request,
386 **extra_submit_params
387 ).execute(num_retries=self.arvrunner.num_retries)
389 response = self.arvrunner.api.container_requests().create(
390 body=container_request,
391 **extra_submit_params
392 ).execute(num_retries=self.arvrunner.num_retries)
394 self.uuid = response["uuid"]
395 self.arvrunner.process_submitted(self)
397 if response["state"] == "Final":
398 logger.info("%s reused container %s", self.arvrunner.label(self), response["container_uuid"])
400 logger.info("%s %s state is %s", self.arvrunner.label(self), response["uuid"], response["state"])
401 except Exception as e:
402 logger.exception("%s error submitting container\n%s", self.arvrunner.label(self), e)
403 logger.debug("Container request was %s", container_request)
404 self.output_callback({}, "permanentFail")
406 def done(self, record):
409 container = self.arvrunner.api.containers().get(
410 uuid=record["container_uuid"]
411 ).execute(num_retries=self.arvrunner.num_retries)
412 if container["state"] == "Complete":
413 rcode = container["exit_code"]
414 if self.successCodes and rcode in self.successCodes:
415 processStatus = "success"
416 elif self.temporaryFailCodes and rcode in self.temporaryFailCodes:
417 processStatus = "temporaryFail"
418 elif self.permanentFailCodes and rcode in self.permanentFailCodes:
419 processStatus = "permanentFail"
421 processStatus = "success"
423 processStatus = "permanentFail"
426 logger.warning("%s Container may have been killed for using too much RAM. Try resubmitting with a higher 'ramMin'.",
427 self.arvrunner.label(self))
429 processStatus = "permanentFail"
431 if processStatus == "permanentFail" and record["log_uuid"]:
432 logc = arvados.collection.CollectionReader(record["log_uuid"],
433 api_client=self.arvrunner.api,
434 keep_client=self.arvrunner.keep_client,
435 num_retries=self.arvrunner.num_retries)
436 label = self.arvrunner.label(self)
439 "%s (%s) error log:" % (label, record["uuid"]), maxlen=40)
441 if record["output_uuid"]:
442 if self.arvrunner.trash_intermediate or self.arvrunner.intermediate_output_ttl:
443 # Compute the trash time to avoid requesting the collection record.
444 trash_at = ciso8601.parse_datetime_as_naive(record["modified_at"]) + datetime.timedelta(0, self.arvrunner.intermediate_output_ttl)
445 aftertime = " at %s" % trash_at.strftime("%Y-%m-%d %H:%M:%S UTC") if self.arvrunner.intermediate_output_ttl else ""
446 orpart = ", or" if self.arvrunner.trash_intermediate and self.arvrunner.intermediate_output_ttl else ""
447 oncomplete = " upon successful completion of the workflow" if self.arvrunner.trash_intermediate else ""
448 logger.info("%s Intermediate output %s (%s) will be trashed%s%s%s." % (
449 self.arvrunner.label(self), record["output_uuid"], container["output"], aftertime, orpart, oncomplete))
450 self.arvrunner.add_intermediate_output(record["output_uuid"])
452 if container["output"]:
453 outputs = done.done_outputs(self, container, "/tmp", self.outdir, "/keep")
455 properties = record["properties"].copy()
456 properties["cwl_output"] = outputs
457 self.arvrunner.api.container_requests().update(
459 body={"container_request": {"properties": properties}}
460 ).execute(num_retries=self.arvrunner.num_retries)
461 except WorkflowException as e:
462 # Only include a stack trace if in debug mode.
463 # A stack trace may obfuscate more useful output about the workflow.
464 logger.error("%s unable to collect output from %s:\n%s",
465 self.arvrunner.label(self), container["output"], e, exc_info=(e if self.arvrunner.debug else False))
466 processStatus = "permanentFail"
468 logger.exception("%s while getting output object:", self.arvrunner.label(self))
469 processStatus = "permanentFail"
471 self.output_callback(outputs, processStatus)
474 class RunnerContainer(Runner):
475 """Submit and manage a container that runs arvados-cwl-runner."""
477 def arvados_job_spec(self, runtimeContext, git_info):
478 """Create an Arvados container request for this workflow.
480 The returned dict can be used to create a container passed as
481 the +body+ argument to container_requests().create().
484 adjustDirObjs(self.job_order, trim_listing)
485 visit_class(self.job_order, ("File", "Directory"), trim_anonymous_location)
486 visit_class(self.job_order, ("File", "Directory"), remove_redundant_fields)
489 for param in sorted(self.job_order.keys()):
490 if self.secret_store.has_secret(self.job_order[param]):
491 mnt = "/secrets/s%d" % len(secret_mounts)
492 secret_mounts[mnt] = {
494 "content": self.secret_store.retrieve(self.job_order[param])
496 self.job_order[param] = {"$include": mnt}
500 "output_path": "/var/spool/cwl",
501 "cwd": "/var/spool/cwl",
502 "priority": self.priority,
503 "state": "Committed",
504 "container_image": arvados_jobs_image(self.arvrunner, self.jobs_image, runtimeContext),
506 "/var/lib/cwl/cwl.input.json": {
508 "content": self.job_order
512 "path": "/var/spool/cwl/cwl.output.json"
515 "kind": "collection",
519 "secret_mounts": secret_mounts,
520 "runtime_constraints": {
521 "vcpus": math.ceil(self.submit_runner_cores),
522 "ram": 1024*1024 * (math.ceil(self.submit_runner_ram) + math.ceil(self.collection_cache_size)),
525 "use_existing": False, # Never reuse the runner container - see #15497.
529 if self.embedded_tool.tool.get("id", "").startswith("keep:"):
530 sp = self.embedded_tool.tool["id"].split('/')
531 workflowcollection = sp[0][5:]
532 workflowname = "/".join(sp[1:])
533 workflowpath = "/var/lib/cwl/workflow/%s" % workflowname
534 container_req["mounts"]["/var/lib/cwl/workflow"] = {
535 "kind": "collection",
536 "portable_data_hash": "%s" % workflowcollection
538 elif self.embedded_tool.tool.get("id", "").startswith("arvwf:"):
539 workflowpath = "/var/lib/cwl/workflow.json#main"
540 record = self.arvrunner.api.workflows().get(uuid=self.embedded_tool.tool["id"][6:33]).execute(num_retries=self.arvrunner.num_retries)
541 packed = yaml.safe_load(record["definition"])
542 container_req["mounts"]["/var/lib/cwl/workflow.json"] = {
546 container_req["properties"]["template_uuid"] = self.embedded_tool.tool["id"][6:33]
548 packed = packed_workflow(self.arvrunner, self.embedded_tool, self.merged_map, runtimeContext, git_info)
549 workflowpath = "/var/lib/cwl/workflow.json#main"
550 container_req["mounts"]["/var/lib/cwl/workflow.json"] = {
555 container_req["properties"].update({k.replace("http://arvados.org/cwl#", "arv:"): v for k, v in git_info.items()})
557 properties_req, _ = self.embedded_tool.get_requirement("http://arvados.org/cwl#ProcessProperties")
559 builder = make_builder(self.job_order, self.embedded_tool.hints, self.embedded_tool.requirements, runtimeContext, self.embedded_tool.metadata)
560 for pr in properties_req["processProperties"]:
561 container_req["properties"][pr["propertyName"]] = builder.do_eval(pr["propertyValue"])
563 # --local means execute the workflow instead of submitting a container request
564 # --api=containers means use the containers API
565 # --no-log-timestamps means don't add timestamps (the logging infrastructure does this)
566 # --disable-validate because we already validated so don't need to do it again
567 # --eval-timeout is the timeout for javascript invocation
568 # --parallel-task-count is the number of threads to use for job submission
569 # --enable/disable-reuse sets desired job reuse
570 # --collection-cache-size sets aside memory to store collections
571 command = ["arvados-cwl-runner",
574 "--no-log-timestamps",
575 "--disable-validate",
577 "--eval-timeout=%s" % self.arvrunner.eval_timeout,
578 "--thread-count=%s" % self.arvrunner.thread_count,
579 "--enable-reuse" if self.enable_reuse else "--disable-reuse",
580 "--collection-cache-size=%s" % self.collection_cache_size]
583 command.append("--output-name=" + self.output_name)
584 container_req["output_name"] = self.output_name
587 command.append("--output-tags=" + self.output_tags)
589 if runtimeContext.debug:
590 command.append("--debug")
592 if runtimeContext.storage_classes != "default" and runtimeContext.storage_classes:
593 command.append("--storage-classes=" + runtimeContext.storage_classes)
595 if runtimeContext.intermediate_storage_classes != "default" and runtimeContext.intermediate_storage_classes:
596 command.append("--intermediate-storage-classes=" + runtimeContext.intermediate_storage_classes)
598 if runtimeContext.on_error:
599 command.append("--on-error=" + self.on_error)
601 if runtimeContext.intermediate_output_ttl:
602 command.append("--intermediate-output-ttl=%d" % runtimeContext.intermediate_output_ttl)
604 if runtimeContext.trash_intermediate:
605 command.append("--trash-intermediate")
607 if runtimeContext.project_uuid:
608 command.append("--project-uuid="+runtimeContext.project_uuid)
611 command.append("--enable-dev")
613 if runtimeContext.enable_preemptible is True:
614 command.append("--enable-preemptible")
616 if runtimeContext.enable_preemptible is False:
617 command.append("--disable-preemptible")
619 if runtimeContext.varying_url_params:
620 command.append("--varying-url-params="+runtimeContext.varying_url_params)
622 if runtimeContext.prefer_cached_downloads:
623 command.append("--prefer-cached-downloads")
625 command.extend([workflowpath, "/var/lib/cwl/cwl.input.json"])
627 container_req["command"] = command
632 def run(self, runtimeContext):
633 runtimeContext.keepprefix = "keep:"
634 job_spec = self.arvados_job_spec(runtimeContext, self.git_info)
635 if runtimeContext.project_uuid:
636 job_spec["owner_uuid"] = runtimeContext.project_uuid
638 extra_submit_params = {}
639 if runtimeContext.submit_runner_cluster:
640 extra_submit_params["cluster_id"] = runtimeContext.submit_runner_cluster
642 if runtimeContext.submit_request_uuid:
643 if "cluster_id" in extra_submit_params:
644 # Doesn't make sense for "update" and actually fails
645 del extra_submit_params["cluster_id"]
646 response = self.arvrunner.api.container_requests().update(
647 uuid=runtimeContext.submit_request_uuid,
649 **extra_submit_params
650 ).execute(num_retries=self.arvrunner.num_retries)
652 response = self.arvrunner.api.container_requests().create(
654 **extra_submit_params
655 ).execute(num_retries=self.arvrunner.num_retries)
657 self.uuid = response["uuid"]
658 self.arvrunner.process_submitted(self)
660 logger.info("%s submitted container_request %s", self.arvrunner.label(self), response["uuid"])
662 workbench1 = self.arvrunner.api.config()["Services"]["Workbench1"]["ExternalURL"]
663 workbench2 = self.arvrunner.api.config()["Services"]["Workbench2"]["ExternalURL"]
666 url = "{}processes/{}".format(workbench2, response["uuid"])
668 url = "{}container_requests/{}".format(workbench1, response["uuid"])
670 logger.info("Monitor workflow progress at %s", url)
673 def done(self, record):
675 container = self.arvrunner.api.containers().get(
676 uuid=record["container_uuid"]
677 ).execute(num_retries=self.arvrunner.num_retries)
678 container["log"] = record["log_uuid"]
680 logger.exception("%s while getting runner container", self.arvrunner.label(self))
681 self.arvrunner.output_callback({}, "permanentFail")
683 super(RunnerContainer, self).done(container)